Sensors in Smart Battery Management
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 368
Special Issue Editor
Interests: intelligent systems design of complex systems in uncertain environments (underwater/electric vehicle, battery, PV system, acoustic enclosure, and water distribution network) involving predictive analytics (data mining, predictive modeling, and machine learning)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart battery management plays a vital role in smart cities and smart industry. The implementation of these battery management systems still faces numerous challenges, such as uncertainties in the operating environment, thermal issues, human–computer interactions, long computational times for artificial intelligence (AI), background noise, and measurement time. These technical challenges affect the deployment and measurement of the sensors.
The aim of this Special Issue is to compile the latest developments in intelligent algorithms with industrial sensors operating in uncertain environments. Research concerning relevant technologies enhancing measurement, dexterity, stability, flexibility, and user experience is desired. Researchers involved in room or environment acoustics will find this Issue extremely informative, and it will provide the latest perspectives on the state of the art. Review papers that provide particularly helpful insights and capture up-to-date technological landscapes are also welcome.
Topics of particular interest include (but are not limited to):
- Algorithms for the estimation of state of charge, health, and function;
- Sensing methods for batteries;
- Sensors for batteries;
- IoT-based smart battery management;
- Dynamic temperature measurement and control;
- Physics-driven and data-driven prognostics and diagnostics;
- Review of lithium–ion batteries for EV;
- Estimation of battery parameters using AI;
- Cell balancing of batteries;
- Thermal modelling of battery;
- Control of battery-powered underwater vehicles;
- Control of hybrid vehicles with fuel cells;
- Lithium–ion batteries for aerospace applications;
- Small unmanned battery powered drones;
- Smart battery applications.
Dr. Cheng Siong Chin
Guest Editor
Manuscript Submission Information
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Keywords
- sensors and sensing techniques
- artificial intelligence
- big data
- internet of things (IoT)
- sensors
- smart battery management
- smart batteries
- battery digital twins
- smart battery applications
- advanced sensing units
- various sensors in batteries in battery management
- fault-tolerant battery systems
- battery fault diagnosis
- battery fault prognosis
